Bank of Montreal

Data Architect (AWS, Data & AI)

Bank of Montreal$94K — $176K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
  • 7+ years of experience in software development, data engineering, or AI/ML.
  • Preferred experience with generative AI, LLMs, or reinforcement learning in production environments
  • Proven experience designing and deploying AI/ML solutions
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., Azure, AWS, GCP), and MLOps tools.
  • Proficiency in Python, SQL, and other relevant programming languages.

Responsibilities

  • Define the enterprise technology capability model and develop target architectures and standards.
  • Lead the design of end-to-end AI solution architectures, integrating data components.
  • Support governance processes to ensure compliance for AI and data solutions.
  • Develop and maintain the technical roadmap for enterprise platform capabilities.
  • Identify opportunities to enhance data architecture across business functions.
  • Provide strategic advice and guidance on AI and data solution implementation.
  • Serve as a trusted technical advisor, influencing architectural direction across the enterprise.

Benefits

  • Health insurance
  • Tuition reimbursement
  • Accident and life insurance
  • Retirement savings plans
  • Performance-based incentives and discretionary bonuses.
Full Job Description
Application Deadline:

07/30/2026

Address:
100 King Street West

Job Family Group:

Technology

Please note this is a Senior Architect role; hands on coding experience is a must. Hybrid (2 days/week working in office downtown Toronto).

MUST HAVE: Architecture experience, AWS Cloud, Artificial Intelligence Hands-on experience (coding), Data Architecture.

Contributes to AI Adoption and Enterprise Architecture from an AI and Data architecture perspective, while bringing their hands on Engineering skills to align business needs with technologies. Partners with internal stakeholders to define the technology capabilities, principles, standards, and guidelines regarding AI including machine learning and data architecture. Provide expert advice regarding AI and Data architecture in critical programs and initiatives. Validates solution architecture for adherence to defined policies, standards and guidelines including regulatory directives. Partners with broader internal stakeholders to define architectural possibilities and futures. Works with business and development teams to recommend processes or system design enhancements. Ensures that systems are functionally appropriate, technically sound, and well-integrated.
  • Lead the design of end-to-end AI solution reference architectures, integrating data architecture components such as data pipelines, model training, deployment, and monitoring.
  • Apply innovative AI, data, and analytics technologies to enterprise platforms, aligning technical solutions with complex business and IT requirements.
  • Develop and maintain the technical roadmap for enterprise platform capabilities to realize the organization's AI and data vision.
  • Support initiatives related to data acquisition, processing, and utilization through the enterprise AI and data platform.
  • Define infrastructure requirements for AI systems; evaluate and select tools, platforms, and frameworks to ensure scalability, performance, and security.
  • Serve as a technical thought leader in AI, machine learning, and data architecture, recognized for deep architectural expertise.
  • Provide strategic advice and guidance to business units on the implementation of AI and data solutions.
  • Ensure project deliverables align with target state architecture and challenge architectural decisions where necessary to uphold governance standards.
  • Identify opportunities to enhance data architecture across diverse and complex business functions and processes.
  • Build and maintain strong relationships with internal stakeholders across enterprise, technology, and business groups to ensure adherence to architecture standards.
  • Monitor industry trends and emerging technologies to inform strategic decisions and recommend relevant innovations.
  • Conduct research and proof-of-concept initiatives to evaluate emerging technologies and recommend their application.
  • Perform additional responsibilities as required to support enterprise goals.


Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering.
  • 15+ years of combined experience in software development, data engineering, architecture and Artificial Intelligence.
  • 5 years experience as a Data Architect
  • 2+ years experience delivering AI Architectures
  • 3 years experience specific to AWS Cloud
  • Hands on current capability to code (at least with Python)
  • Experience with GenAI, LLMs, or reinforcement learning in production environments and AI solution delivery.
  • Proven experience architecting and deploying AI/ML solutions
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., Azure, AWS, GCP), and MLOps tools. Preferred certifications in cloud architecture or AI/ML.
  • Proficiency in Python, SQL, and other relevant programming languages.
  • Familiarity with data architecture, APIs, and microservices.
  • Experience with implementing disruptive technologies in an organization;
  • Experience with Complex & high volume cloud implementations;
  • Possesses knowledge in financial industry business knowledge as well as knowledge of major data consumption use cases in financial services.
  • Exhibits knowledge of data architecture concepts and practices.
  • Demonstrates knowledge of architecture frameworks, methodologies, and tools.


Salary:

$94,600.00 - $176,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Bank of Montreal

The Bank of Montreal is a Canadian multinational investment bank and financial services company. It provides a wide range of personal and commercial banking, wealth management, and investment banking products and services. The bank had revenues of CAD 23.6 billion in 2020.
Learn more about Bank of Montreal
Size
45,454 employees
Market Cap
$60.9 billion
Industry
Founded
1817
5 Year Trend
+9.1%
NASDAQ

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